Videos & Panel Discussions

Presentations, keynotes, and panel sessions exploring AI-native startup architecture, venture strategy, supply chain networks, and innovation ecosystem dynamics.

How to Launch an AI-Native Startup in the Caribbean

AI is changing how startups are built and founders across the Caribbean are starting to move with it.

In this session, we brought together founders, operators, and industry experts to break down what it actually means to build an AI-native startup from day one.

From product and growth to legal, finance, and scaling, this conversation gives you a clear look at how to build smarter, faster, and more strategically in today’s landscape.

Featuring speakers:

  • Dr. Yaniv Proselkov, PhD – Co-founder @ Venture Scholar Studio
  • Saelese Haynes-Romany – Head of Chambers @ Titan Chambers
  • Lissette Anez – Founder @ Sparktoria Tech
  • Andy Karuza – Marketing Lead @ NachoNacho
  • Shruti Kubér – Co-Founder @ CapitalSnapshot

Moderated by: Rawle Annandsingh, Managing Director @ Founder Institute Caribbean

Whether you’re just starting out or already building, this session is designed to help you think differently about how AI fits into your startup.

Key Insights & Systems Architecture Breakdown

During the session, Dr. Yaniv Proselkov detailed the difference between superficial AI features and genuine systems-level AI nativity:

  • AI Nativity vs. Feature Layering: Installing computer vision cameras or an LLM chatbot on top of an existing workflow (e.g., port logistics or SaaS) is not AI nativity. True AI nativity requires designing the venture around the AI ecosystem—ensuring every interaction establishes a continuous data feedback loop that continuously fine-tunes operational mechanisms.
  • Data as Oil vs. Refining Infrastructure: While data is often called "the new oil," data alone is useless if a venture lacks the operational machinery to refine it. AI nativity means building systems that act on and extract value from data in real time.
  • The Cambridge Model vs. Caribbean Ocean Advantage: Dr. Yaniv compared high-density, disaggregated research hubs like Cambridge (UK) with the hyper-complex, multi-island geography of the Caribbean. Operating under high geographic and operational constraints forces founders to solve harder problems, creating unique, defensible knowledge capital that can be scaled globally.
  • Knowledge Integration as the Moat: As low-to-mid level technical execution becomes automated, competitive advantage shifts from raw technical output to human knowledge integration, strategic clarity, and high-trust interpersonal networks.

AI & the Future of Finance

Dr. Yaniv Proselkov speaking at the London Jewish Finance Network panel on how artificial intelligence is transforming capital allocation, risk modeling, and financial infrastructure.